Bias can rear its ugly head in various forms, from implicit biases that occur without the human actor being aware of it, to conscious bias in the inverse. While bias in data is historically more prevalent in certain B2C industries, like financial services, it doesn’t exclusively live there.
· Michael Musty, Patrick Doherty
One of Faraday’s founding pillars is the use of Responsible AI, which includes both preventing direct harmful bias and reporting on possible indirect bias. We’ve been building these features directly into the platform over the past several months, and today we’re going to walk through two new features in Faraday with bias reporting and mitigation.
· Patrick Doherty
In finance, remaining compliant to fair lending regulations doesn’t mean you need to accept worse acquisition performance. Learn how to use AI and third-party data to optimize ad spend by surfacing your most likely-to-buy customers in under 15 minutes, while ensuring you're compliant to any relevant regulations.
· Patrick Doherty
This summer, we’re ringing in an AI revolution at Faraday, one where any brand, not just the Fortune 100, can use practical, powerful AI without compromising on ethics.
· Andy Rossmeissl
Transparency is an important part of your security practices—clients and collaborators alike should be able to quickly and easily understand what you’re doing to protect their data.
· Andy Rossmeissl
In a world without third-party cookies, building trust with your audience is more important than ever.
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